面向权重未知的区间直觉模糊多属性决策方法  

Interval-valued intuitionistic fuzzy multi-attribute decision-making method for unknown attribute weight

作　　者：龚匡丰 林耀进 李国和[3] 杨伟萍 GONG Kuangfeng;LIN Yaojin;LI Guohe;YANG Weiping(School of Mathematics and Information Engineering,Longyan University,Longyan,Fujian 364000,China;School of Computer Science,Minnan Normal University,Zhangzhou,Fujian 363000,China;College of Information Science and Engineering,China University of Petroleum,Beijing 102249,China)

机构地区：[1]龙岩学院数学与信息工程学院,福建龙岩364000 [2]闽南师范大学计算机学院,福建漳州363000 [3]中国石油大学(北京)信息科学与工程学院,北京102249

出　　处：《闽南师范大学学报（自然科学版）》2023年第4期16-23,共8页Journal of Minnan Normal University：Natural Science

基　　金：福建省中青年教师教育科研项目(JAT200578,JAT210446)。

摘　　要：传统区间直觉模糊数得分函数计算方法没有考虑犹豫度的作用,为克服该局限性,首先定义一种新的得分函数,并对其合理性和相关性质进行讨论.其次,通过最大最小偏差思想确定属性权重,结合区间直觉模糊加权平均(IIFWA)算子,提出一种新的面向权重未知的多属性决策方法.最后,分析模型的优化和决策过程.算例结果表明,所提方法是有效的.The conventional approach for calculating the scoring function of interval-valued intuitionistic fuzzy numbers neglects the impact of hesitatian degree.To overcome this limitation,a novel method is proposed in this paper to calculate the scoring function,and its rationality and related properties are discussed.Subsequently,attribute weights are determined using the idea of maximum and minimum deviation,combined interval-valued Intuitionistic fuzzy weighted averaging(IIFWA)operator,a multi-attribute decision-making method for unknown weights is proposed.Finally,the optimization and decision-making process of the model are analyzed,and the results of examples demonstrate the effectiveness of the proposed method.

关 键 词：区间直觉模糊数 属性权重 多属性决策 最大最小偏差 犹豫度 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程]